



from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__	    =    logging.get_logger(__name__)

lowerCAmelCase__	    =    {
    'SCUT-DLVCLab/lilt-roberta-en-base': (
        'https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'
    ),
}

class  snake_case__(_snake_case     ):

					"""simple docstring"""






					lowercase_								=						"""lilt"""







					def __init__(				self   :      Tuple ,  SCREAMING_SNAKE_CASE   :      Union[str, Any]=30_522 ,  SCREAMING_SNAKE_CASE   :      Union[str, Any]=768 ,  SCREAMING_SNAKE_CASE   :      List[Any]=12 ,  SCREAMING_SNAKE_CASE   :      int=12 ,  SCREAMING_SNAKE_CASE   :      Optional[Any]=3_072 ,  SCREAMING_SNAKE_CASE   :      int="gelu" ,  SCREAMING_SNAKE_CASE   :      Any=0.1 ,  SCREAMING_SNAKE_CASE   :      int=0.1 ,  SCREAMING_SNAKE_CASE   :      List[Any]=512 ,  SCREAMING_SNAKE_CASE   :      int=2 ,  SCREAMING_SNAKE_CASE   :      Dict=0.02 ,  SCREAMING_SNAKE_CASE   :      Tuple=1E-1_2 ,  SCREAMING_SNAKE_CASE   :      Optional[Any]=0 ,  SCREAMING_SNAKE_CASE   :      str="absolute" ,  SCREAMING_SNAKE_CASE   :      Optional[int]=None ,  SCREAMING_SNAKE_CASE   :      Any=4 ,  SCREAMING_SNAKE_CASE   :      Optional[int]=1_024 ,  **SCREAMING_SNAKE_CASE   :      str ,  ):
									super().__init__(pad_token_id=__snake_case ,  **__snake_case	)

									lowercase__	:       str						=	vocab_size
									lowercase__	:       Optional[Any]						=	hidden_size
									lowercase__	:       Optional[Any]						=	num_hidden_layers
									lowercase__	:       Optional[int]						=	num_attention_heads
									lowercase__	:       Optional[Any]						=	hidden_act
									lowercase__	:       Dict						=	intermediate_size
									lowercase__	:       Tuple						=	hidden_dropout_prob
									lowercase__	:       List[str]						=	attention_probs_dropout_prob
									lowercase__	:       Union[str, Any]						=	max_position_embeddings
									lowercase__	:       Dict						=	type_vocab_size
									lowercase__	:       Union[str, Any]						=	initializer_range
									lowercase__	:       Tuple						=	layer_norm_eps
									lowercase__	:       str						=	position_embedding_type
									lowercase__	:       List[str]						=	classifier_dropout
									lowercase__	:       int						=	channel_shrink_ratio
									lowercase__	:       str						=	max_ad_position_embeddings








'''simple docstring'''


import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


UpperCAmelCase_						:  List[Any]				  =						'sshleifer/bart-tiny-random'
UpperCAmelCase_						:  Tuple				  =						'patrickvonplaten/t5-tiny-random'





@require_torch
class        lowercase__    (		unittest.TestCase   ):





							'''simple docstring'''


							@cached_property
							def UpperCAmelCase_      (       self    ):
											return AutoConfig.from_pretrained(__snake_case    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			int							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=1    )
											self.assertEqual(student.config.num_hidden_layers       ,   1    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			int							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=__snake_case    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			str							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=__snake_case    )
											self.assertEqual(student.config.encoder_layers       ,   1    )
											self.assertEqual(student.config.decoder_layers       ,   self.teacher_config.encoder_layers    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=1    )
											self.assertEqual(student.config.encoder_layers       ,   1    )
											self.assertEqual(student.config.decoder_layers       ,   1    )






							def UpperCAmelCase_      (       self    ):
											with self.assertRaises(__snake_case    ):
															create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=__snake_case       ,   d=__snake_case    )




